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@ARTICLE{Zimmermann:839986,
      author       = {Zimmermann, Markus and Abbas, Zaheer and Dzieciol,
                      Krzysztof and Shah, N. J.},
      title        = {{A}ccelerated parameter mapping of multiple-echo
                      gradient-echo data using model-based iterative
                      reconstruction},
      journal      = {IEEE transactions on medical imaging},
      volume       = {37},
      number       = {2},
      issn         = {1558-254X},
      address      = {New York, NY},
      publisher    = {Institute of Electrical and Electronics Engineers,},
      reportid     = {FZJ-2017-07556},
      pages        = {626 - 637},
      year         = {2018},
      abstract     = {A new reconstruction method, coined MIRAGE, is presented
                      for accurate, fast, and robust parameter mapping of
                      multiple-echo gradient-echo imaging; the basis sequence of
                      novel quantitative MRI techniques such as water content and
                      susceptibility mapping. Assuming that the temporal signal
                      can be modeled as a sum of damped complex exponentials,
                      MIRAGE performs model-based reconstruction of undersampled
                      data by minimizing the rank of local Hankel matrices. It
                      further incorporates multi-channel information and spatial
                      prior knowledge. Finally, the parameter maps are estimated
                      using nonlinear regression. Simulations and retrospective
                      undersampling of phantom and in vivo data affirm robustness,
                      e.g., to strong inhomogeneity of the static magnetic field
                      and partial volume effects. MIRAGE is compared to a state of
                      the art compressed sensing method, L1-ESPIRiT. Parameter
                      maps estimated from reconstructed data using MIRAGE are
                      shown to be accurate, with the mean absolute error reduced
                      by up to 50 percent for in vivo results. The proposed method
                      has the potential to improve the diagnostic utility of
                      quantitative imaging techniques that rely on multipleecho
                      gradient-echo data.},
      cin          = {INM-4 / INM-11 / JARA-BRAIN},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-4-20090406 / I:(DE-Juel1)INM-11-20170113 /
                      $I:(DE-82)080010_20140620$},
      pnm          = {573 - Neuroimaging (POF3-573)},
      pid          = {G:(DE-HGF)POF3-573},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:29408790},
      UT           = {WOS:000424467000027},
      doi          = {10.1109/TMI.2017.2771504},
      url          = {https://juser.fz-juelich.de/record/839986},
}